Here is some R code for reading wide-format BMG MARS-style time series CSV files into long-format in R, for either single data files (readBMG) or multiple data files from the same experiment, e.g. using the BMG Microplate stacker (readStack).
After being steadfastly against anything in R beyond base, I’ve recently been indoctrinated into the tidyverse way of doing things. In particular, ggplot and extensions has made making complicated plots a lot easier than using base graphics (especially ggpubr’s ggarrange() function for labelling panels, which I used to do with mtext()). However, I’ve never been a huge fan of the ggplot aesthetic, being trained from a young age to eschew “chart junk“, like grid lines and unnecessary backgrounds. It’s fairly easy to do, with a few modifications of ggplot’s theme_bw(). Include this code before your ggplot commands:
I visited the one and only microbe museum-, Micropia in Amsterdam in August, following the ESEB meeting in Groningen. Highly recommend for anyone with an interest in microbes or science in general. Very interactive.
Knight lab does the University of Manchester Community Festival! Live-action demos of evolution simulations and examples of antibiotic resistant E. coli.
This somewhat-ridiculous BASH one-liner will create a BibTeX database file (.bib) from a bunch of PDFs via the Crossref API for DOIs, providing the PDF has a DOI on the first page. As DOI was introduced in 2000, this will probably not work on vintage PDFs.
for pdfs in *.pdf; do pdftotext -f 1 -l 1 "$pdfs" - |tr -d "\n" | grep -oE "(doi|DOI):\s?[A-Za-z0-9./-\(\)-]+[0-9]" | tr '[:upper:]' '[:lower:]' | sed -r 's;doi:\s?;http://api.crossref.org/works/;g' | sed -r 's;$;/transform/application/x-bibtex;g' | xargs curl -fsS 2>/dev/null | sed -e '$a\'; done > allpdf.bib